Multi-omics, variously called integrated omics, pan-omics, and trans-omics, aims to combine
two or more omics data sets to aid in data analysis, visualization and interpretation to …

Traceability is considered a key requirement for trustworthy artificial intelligence (AI), related
to the need to maintain a complete account of the provenance of data, processes, and …

NeuroKit2 is an open-source, community-driven, and user-centered Python package for
neurophysiological signal processing. It provides a comprehensive suite of processing …

Across scientific disciplines, there is a rapidly growing recognition of the need for more
statistically robust, transparent approaches to data visualization. Complementary to this …

Simulation of transmission electron microscopy (TEM) images or diffraction patterns is often
required to interpret experimental data. Since nuclear cores dominate electron scattering …

There is an increased emphasis on visualizing neuroimaging results in more intuitive ways.
Common statistical tools for dissemination of these results, such as bar charts, lack the …

Jupyter Notebooks have transformed the communication of data analysis pipelines by
facilitating a modular structure that brings together code, markdown text, and interactive …

Computational micromagnetics has become an essential tool in academia and industry to
support fundamental research and the design and development of devices. Consequently …

Regulation of RNA abundance and localization is a key step in gene expression control.
Single-molecule RNA fluorescence in situ hybridization (smFISH) is a widely used single …

We introduce NetKet, a comprehensive open source framework for the study of many-body
quantum systems using machine learning techniques. The framework is built around a …